Data Science Cheat Sheets

Learn the basics of probability with our Introduction to Probability Rules Cheat Sheet. Quickly reference key concepts and formulas for finding probability, conditional probability, and more.

Master the fundamentals of data governance with our Data Governance Fundamentals Cheat Sheet. Quickly reference key concepts, best practices, and key components of a data governance program.

Python is the most popular programming language in data science. Use this cheat sheet to jumpstart your Python learning journey.

Working with dates and times is essential when manipulating data in Python. Learn the basics of working with datetime data in this cheat sheet.

Regular expressions (regex or regexp) are a pattern of characters that describe an amount of text. Regular expressions are one of the most widely used tools in natural language processing and allow you to supercharge common text data manipulation tasks. Use this cheat sheet as a handy reminder when working with regular expressions.

With this data manipulation with dplyr in the R cheat sheet, you'll have a handy reference guide in your R upskilling journey.

With this SQL Joins cheat sheet, you'll have a handy reference guide to joining data in SQL.

Git lets you manage changes made to files and directories in a project. It allows you to keep track of what you did, undo any changes you decide you don't want, and collaborate at scale with others. This cheat sheet will give you the download on all things Git.

This cheat sheet will cover an overview of getting started with R. Use it as a handy, high-level reference for a quick start with R. For more detailed R Cheat Sheets, follow the highlighted cheat sheets below.

This handy one-page reference presents the Python basics that you need to do data science

In this cheat sheet, you'll have a guide around the top machine learning algorithms, their advantages and disadvantages, and use-cases.

With this SQL cheat sheet, you'll have a handy reference guide to basic querying tables, filtering data, and aggregating data